Fast Subspace-Based Blind and Semi-Blind Channel Estimation for MIMO-OFDM Systems

被引：1

作者：

Rekik, Ouahbi ^{[1
]}

Aliyu, Kabiru Nasiru ^{[2
,3
]}

Tuan, Bui Minh ^{[4
,5
]}

Abed-Meraim, Karim ^{[6
]}

Trung, Nguyen Linh ^{[4
]}

机构：

[1] Higher Sch Signals, Dely Ibrahim 16320, Algeria

[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia

[3] King Fahd Univ Petr & Minerals, Ctr Commun Syst & Sensing, Dhahran 31261, Saudi Arabia

[4] Vietnam Natl Univ, Univ Engn & Technol, Adv Inst Engn & Technol AVITECH, Hanoi 100000, Vietnam

[5] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Electr & Data Engn, Ultimo, NSW 2007, Australia

[6] Orleans Univ, PRISME Lab, F-45100 Orleans, France

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2024年 / 23卷 / 08期

关键词：

Channel estimation; OFDM; Symbols; Estimation; Covariance matrices; Communication systems; Wireless communication; MIMO; subspace method; blind and semi-blind channel estimation; IDENTIFICATION; ALGORITHM;

D O I：

10.1109/TWC.2024.3370720

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the problem of blind and semi-blind subspace-based channel estimation, when considering MIMO-OFDM communications systems. The proposed solution offers a reduced computational complexity, mainly by a factor of the number of subcarriers, while guaranteeing accurate channel estimation as compared to state-of-the-art techniques. By exploiting the orthogonality property of the OFDM modulation, covariance matrix and noise subspace are estimated for each subcarrier in a parallel scheme, then a global cost function is minimized to obtain channel coefficients estimates. Besides, conditions for channel identifiability as well as the minimum number of subcarriers to be used for the uniqueness of the solution are investigated with various numerical simulations to corroborate our analysis.

引用

页码：10247 / 10257

页数：11

共 50 条

[1] Subspace-based blind and semi-blind channel estimation for OFDM systems
Muquet, B
de Courville, M
Duhamel, P
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (07) : 1699 - 1712
[2] Blind and semi-blind channel estimation with fast convergence for MIMO-OFDM systems
Yu, Jung-Lang
Zhang, Biling
Chen, Po-Ting
SIGNAL PROCESSING, 2014, 95 : 1 - 9
[3] Fast Convergence on Blind and Semi-Blind Channel Estimation for MIMO-OFDM Systems
Zhang, Biling
Yu, Jung-Lang
Kuo, Wan-Ru
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 34 (06) : 1993 - 2013
[4] Subspace-Based Blind Channel Estimation Method for MIMO-OFDM Systems
HOU Yong-min
WuhanUniversityJournalofNaturalSciences, 2005, (02) : 413 - 416
[5] Efficient Semi-Blind Subspace Channel Estimation For MIMO-OFDM System
Ladaycia, Abdelhamid
Abed-Meraim, Karim
Mokraoui, Anissa
Belouchrani, Adel
2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 1282 - 1286
[6] Semi-blind channel estimation for MIMO-OFDM
Fu, HY
Fung, PHW
Sun, SM
2004 IEEE 15TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-4, PROCEEDINGS, 2004, : 1850 - 1854
[7] Subspace-based Semi-blind Channel Estimation for STC-OFDM Systems
Jiao Hui-ying
Bu Xiang-yuan
An Jian-ping
Zhou Rong-hua
2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 436 - 439
[8] Subspace-based Blind Channel Estimation for MIMO-OFDM Systems with Repetition Index
Fang, Shih-Hao
Chen, Ju-Ya
Lin, Jing-Shiun
Shieh, Ming-Der
Hsieh, Dung-Rung
Hsu, Jen-Yuan
2013 IEEE 78TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2013,
[9] Optimization on semi-blind channel estimation for MIMO-OFDM systems
Sangirov Gulomjon
Fu Yongqing
Sangirov Jamshid
The Journal of China Universities of Posts and Telecommunications, 2015, (06) : 86 - 93
[10] An enhanced semi-blind channel estimation for MIMO-OFDM systems
Gulomjon Sangirov
Yongqing Fu
M. Rakib Uddin
Jamshid Sangirov
Wireless Networks, 2016, 22 : 2101 - 2110

← 1 2 3 4 5 →